Literature DB >> 15514190

Which time-to-peak threshold best identifies penumbral flow? A comparison of perfusion-weighted magnetic resonance imaging and positron emission tomography in acute ischemic stroke.

J Sobesky1, O Zaro Weber, F-G Lehnhardt, V Hesselmann, A Thiel, C Dohmen, A Jacobs, M Neveling, W-D Heiss.   

Abstract

BACKGROUND AND
PURPOSE: In acute ischemic stroke, the hypoperfused but viable tissue is the main therapeutic target. In clinical routine, time-to-peak (TTP) maps are frequently used to estimate the hemodynamic compromise and to calculate the mismatch volume. We evaluated the accuracy of TTP maps to identify penumbral flow by comparison with positron emission tomography (PET).
METHODS: Magnetic resonance imaging (MRI) and PET were performed in 11 patients with acute ischemic stroke (median 8 hours after stroke onset, 60 minutes between MRI and PET imaging). The volumes defined by increasing TTP thresholds (relative TTP delay of >2, >4, >6, >8, and >10 seconds) were compared with the volume of hypoperfusion (<20 mL/100 g per min) assessed by 15O-water PET. In a volumetric analysis, each threshold's sensitivity, specificity, and predictive values were calculated.
RESULTS: The median hypoperfusion volume was 34.5 cm3. Low TTP thresholds included large parts of the hypoperfused but also large parts of normoperfused tissue (median sensitivity/specificity: 93%/60% for TTP >2) and vice versa (50%/91% for TTP >10). TTP >4 seconds best identifies hypoperfusion (84%/77%). The positive predictive values increased with the size of hypoperfusion.
CONCLUSIONS: This first comparison of quantitative PET-CBF with TTP maps in acute ischemic human stroke indicates that the TTP threshold is crucial to reliably identify the tissue at risk; TTP >4 seconds best identifies penumbral flow; and TTP maps overestimate the extent of true hemodynamic compromise depending on the size of ischemia. Only if methodological restrictions are kept in mind, relative TTP maps are suitable to estimate the mismatch volume.

Entities:  

Mesh:

Year:  2004        PMID: 15514190     DOI: 10.1161/01.STR.0000147043.29399.f6

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  51 in total

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Authors:  Melissa Newhart; Lydia A Trupe; Yessenia Gomez; Lauren Cloutman; J Jarred Molitoris; Cameron Davis; Richard Leigh; Rebecca F Gottesman; David Race; Argye E Hillis
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Review 2.  The alphabet soup of perfusion CT and MR imaging: terminology revisited and clarified in five questions.

Authors:  Carlos Leiva-Salinas; James M Provenzale; Kohsuke Kudo; Makoto Sasaki; Max Wintermark
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Review 3.  Magnetic resonance perfusion imaging in the study of language.

Authors:  Argye E Hillis
Journal:  Brain Lang       Date:  2006-06-06       Impact factor: 2.381

Review 4.  Human gene therapy and imaging in neurological diseases.

Authors:  Andreas H Jacobs; Alexandra Winkler; Maria G Castro; Pedro Lowenstein
Journal:  Eur J Nucl Med Mol Imaging       Date:  2005-12       Impact factor: 9.236

Review 5.  [Patient selection for thrombolysis using perfusion and diffusion MRI. An overview].

Authors:  G Thomalla; P Ringleb; M Köhrmann; P D Schellinger
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Review 6.  Imaging in acute stroke--a personal view.

Authors:  Thomas Kucinski
Journal:  Klin Neuroradiol       Date:  2009-05-15

7.  Oxygen metabolism in ischemic stroke using magnetic resonance imaging.

Authors:  Hongyu An; Qingwei Liu; Yasheng Chen; Katie D Vo; Andria L Ford; Jin-Moo Lee; Weili Lin
Journal:  Transl Stroke Res       Date:  2011-12-13       Impact factor: 6.829

8.  The roles of occipitotemporal cortex in reading, spelling, and naming.

Authors:  Rajani Sebastian; Yessenia Gomez; Richard Leigh; Cameron Davis; Melissa Newhart; Argye E Hillis
Journal:  Cogn Neuropsychol       Date:  2014-02-17       Impact factor: 2.468

Review 9.  Use of magnetic resonance imaging to predict outcome after stroke: a review of experimental and clinical evidence.

Authors:  Tracy D Farr; Susanne Wegener
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

10.  Computed tomographic angiography criteria in the diagnosis of brain death-comparison of sensitivity and interobserver reliability of different evaluation scales.

Authors:  Marcin Sawicki; R Bohatyrewicz; K Safranow; A Walecka; J Walecki; O Rowinski; J Solek-Pastuszka; Z Czajkowski; M Guzinski; M Burzynska; J Wojczal
Journal:  Neuroradiology       Date:  2014-05-07       Impact factor: 2.804

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